Operations Engineer Internships
Operations engineer internships give university students, recent graduates, and early-career switchers hands-on project experience, mentorship from working engineers, and, at many employers, a path toward a full-time offer. Openings are concentrated in Manufacturing, Energy, and Food & Beverage, with Amazon, Tesla, and Campbell's among the employers posting roles now.
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Since 1869, we've connected people through food they love. We’re proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell’s brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao’s Homemade, Snack Factory, Snyder’s of Hanover. Swanson, and V8.
Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.
Operational Support Data Engineer – Agentic AI & ML Ops (Co-op)
- We are seeking a motivated and curious Data Engineer – Agentic AI & ML Ops to join our Enterprise Data & Analytics team. This co-op provides hands-on experience supporting cloud-based data platforms, AI/ML operations, Generative AI, and Agentic AI solutions.
- You will work with Databricks, Snowflake, Azure, ADLS, ADF, Power BI, Python, PySpark, SQL, LLMs, and modern AI/ML frameworks in an Agile environment.
Key Responsibilities
- Build Data & AI Pipelines: Develop and support ETL/ELT pipelines and AI/ML workflows.
- Data Integration & Transformation: Ingest, transform, and orchestrate data using Python, PySpark, and SQL.
- Develop Agentic AI Solutions: Build and test AI agents and intelligent workflows for automation and data access.
- LLM & Prompt Engineering: Design and optimize prompts and workflows using LLMs and GenAI frameworks.
- AI/ML Development & Automation: Build Python-based scripts, APIs, and notebooks on cloud platforms.
- Support Analytics & AI/ML: Prepare datasets for reporting, ML models, forecasting, and advanced analytics.
- Monitor & Support Operations: Troubleshoot pipeline failures, performance issues, and data quality gaps.
- MLOps & CI/CD: Support deployment, testing, and automation for data and AI solutions.
- Data Modeling & Semantic Layers: Assist with STTM, data modeling, and reporting datasets.
- Agile Collaboration: Participate in sprint planning, stand-ups, and retrospectives.
Learning & Development Opportunities
- Hands-on experience with Databricks, Snowflake, Azure, ADLS, ADF, and Power BI.
- Exposure to MLOps, GenAI, Agentic AI, LLMs, CI/CD, and automation.
- Experience working with AI agents, prompt engineering, and workflow orchestration.
- Mentorship from Data, AI/ML, and Platform Engineers.
Qualifications
- Pursuing a degree in Computer Science, Data Engineering, Data Science, AI/ML, or related field.
- Knowledge of SQL, Python/PySpark, ETL/ELT, and APIs.
- Familiarity with Databricks, Snowflake, Azure, ADLS, ADF, Power BI, or Git is a plus.
- Exposure to LLMs, GenAI, Agentic AI, MLOps, or CI/CD is beneficial.
- Experience with Python-based AI/ML projects or notebooks is a plus.
- Strong analytical and problem-solving skills.
- Strong communication and teamwork skills.
The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.
Since 1869, we've connected people through food they love. We’re proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell’s brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao’s Homemade, Snack Factory, Snyder’s of Hanover. Swanson, and V8.
Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.
Operational Support Data Engineer – Agentic AI & ML Ops (Co-op)
- We are seeking a motivated and curious Data Engineer – Agentic AI & ML Ops to join our Enterprise Data & Analytics team. This co-op provides hands-on experience supporting cloud-based data platforms, AI/ML operations, Generative AI, and Agentic AI solutions.
- You will work with Databricks, Snowflake, Azure, ADLS, ADF, Power BI, Python, PySpark, SQL, LLMs, and modern AI/ML frameworks in an Agile environment.
Key Responsibilities
- Build Data & AI Pipelines: Develop and support ETL/ELT pipelines and AI/ML workflows.
- Data Integration & Transformation: Ingest, transform, and orchestrate data using Python, PySpark, and SQL.
- Develop Agentic AI Solutions: Build and test AI agents and intelligent workflows for automation and data access.
- LLM & Prompt Engineering: Design and optimize prompts and workflows using LLMs and GenAI frameworks.
- AI/ML Development & Automation: Build Python-based scripts, APIs, and notebooks on cloud platforms.
- Support Analytics & AI/ML: Prepare datasets for reporting, ML models, forecasting, and advanced analytics.
- Monitor & Support Operations: Troubleshoot pipeline failures, performance issues, and data quality gaps.
- MLOps & CI/CD: Support deployment, testing, and automation for data and AI solutions.
- Data Modeling & Semantic Layers: Assist with STTM, data modeling, and reporting datasets.
- Agile Collaboration: Participate in sprint planning, stand-ups, and retrospectives.
Learning & Development Opportunities
- Hands-on experience with Databricks, Snowflake, Azure, ADLS, ADF, and Power BI.
- Exposure to MLOps, GenAI, Agentic AI, LLMs, CI/CD, and automation.
- Experience working with AI agents, prompt engineering, and workflow orchestration.
- Mentorship from Data, AI/ML, and Platform Engineers.
Qualifications
- Pursuing a degree in Computer Science, Data Engineering, Data Science, AI/ML, or related field.
- Knowledge of SQL, Python/PySpark, ETL/ELT, and APIs.
- Familiarity with Databricks, Snowflake, Azure, ADLS, ADF, Power BI, or Git is a plus.
- Exposure to LLMs, GenAI, Agentic AI, MLOps, or CI/CD is beneficial.
- Experience with Python-based AI/ML projects or notebooks is a plus.
- Strong analytical and problem-solving skills.
- Strong communication and teamwork skills.
The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.
Operations Engineer Internship Market
Who's Hiring
Top Industries Hiring
- Manufacturing
- Energy
- Food & Beverage
- Transportation & Logistics
Tips for Your Operations Engineer Internship Search
Apply months before the start date
Large employers open summer operations engineer internship applications the preceding fall, often in September or October. Smaller companies and co-op programs post closer to start dates. Check listings early and often rather than waiting for a single recruiting window, the strongest structured programs fill long before most candidates start looking.
Build a portfolio before you send a single application
Operations engineer intern recruiters need something concrete to assess. Document two or three process-improvement projects, data analysis outputs, or systems-design exercises, naming the tools you used and what changed as a result. A one-page project writeup or a linked repository gives a recruiter more signal than a resume with coursework alone.
Work your campus network and apply directly at the same time
Campus career fairs surface structured programs tied to your university, and professors or career center staff often know which employers recruit from your school before roles appear publicly. Applying directly to companies running smaller cohorts alongside those campus channels widens the pool you reach and catches openings that never make it to campus events.
Practice the operations engineer intern screen out loud
Operations engineer intern interviews typically include a technical or analytical screen, process analysis, data interpretation, or quantitative problem-solving, and behavioral questions on how you've handled ambiguity or worked across teams. Practice explaining your reasoning out loud, not just reaching the answer, because interviewers weigh how you think as much as the final result.
Target rotational and cohort programs built for new entrants
Many large manufacturers, logistics companies, and industrial firms run structured operations rotational programs designed specifically for candidates new to the field. These programs recruit early, fill fast, and often offer broader exposure than a single-team placement. Identify the ones that fit your background and apply in the first wave of their recruiting cycle.
Set your work-type filter before you start
On-site roles are 100% of the operations engineer internships listed here. Decide what you can realistically commit to, on-site, hybrid, or remote, before you start reviewing listings. Filtering by location and work type upfront means you spend time on roles you can actually accept rather than sorting through the full pool.
Operations Engineer Internships: Frequently Asked Questions
How do I get an operations engineer internship?
Lead with coursework, personal projects, and a portfolio rather than work history, hiring teams expect limited experience at the intern level. For operations engineer candidates, documented process-improvement projects, data analysis outputs, or systems-design write-ups give recruiters something concrete to assess. Pair direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can an operations engineer internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What actually drives it for operations engineer interns is consistent performance on real deliverables, available headcount on the team at offer time, and understanding the return-offer timeline early enough to act on it. Position yourself well, but keep applying to other roles in parallel rather than counting on it.
When should I apply for operations engineer internships?
Earlier than most expect. Large employers recruit summer interns the preceding fall, sometimes opening applications in August or September for roles that start the following June. Smaller companies and co-op programs post closer to their actual start dates, so openings appear year-round. Checking listings regularly rather than waiting for a single recruiting season gives you more options.
Are operations engineer internships paid?
Most professional operations engineer internships in the United States are paid. Compensation varies by company size, industry, and location, so the range is wide. Where an employer discloses pay, the listing shows it. Unpaid internships exist but are far less common at established companies running structured programs.
What should an operations engineer internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the tools used, process mapping software, data analysis tools, simulation platforms, and link to or describe where the work can be seen, such as a case study writeup or a GitHub repository with documented outputs. Add relevant coursework and keep the resume to one page.
Are there remote operations engineer internships?
Yes. Remote and hybrid roles make up 0% of the operations engineer internship listings here, with the rest on-site. Remote cohorts fill fast because they attract applicants from across the country, so apply early once you find a match. Use the work-type filter to surface remote and hybrid listings without sorting through every posting.
Can international students get operations engineer internships?
Yes. F-1 students can intern through CPT while enrolled or through OPT work authorization after finishing a degree, and the employer does not have to file anything for either, so many companies are open to international interns. Confirm your eligibility and timing with your university's international student office before accepting an offer.
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